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Propensity score matching for multiple treatment levels: A CODA-based contribution

Hajime Seya, Takahiro Yoshida

arXiv 24 Oct 2017 · Econometrics · 2 citations (OpenAlex)

arXiv:1710.08558 · PDF · DOI · OpenAlex

Abstract

This study proposes a simple technique for propensity score matching for multiple treatment levels under the strong unconfoundedness assumption with the help of the Aitchison distance proposed in the field of compositional data analysis (CODA).

Citation extraction

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